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Efficient framework for predicting MiRNA-disease associations based on improved hybrid collaborative filtering
BACKGROUND: Accumulating studies indicates that microRNAs (miRNAs) play vital roles in the process of development and progression of many human complex diseases. However, traditional biochemical experimental methods for identifying disease-related miRNAs cost large amount of time, manpower, material...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8406577/ https://www.ncbi.nlm.nih.gov/pubmed/34461870 http://dx.doi.org/10.1186/s12911-021-01616-5 |